Triple

T8404967
Position Surface form Disambiguated ID Type / Status
Subject Buddhadeb Dasgupta E198471 entity
Predicate notableWork P4 FINISHED
Object Charachar
Charachar is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores the lives and struggles of rural bird catchers in India.
 E732581 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Charachar | Statement: [Buddhadeb Dasgupta, notableWork, Charachar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charachar
Context triple: [Buddhadeb Dasgupta, notableWork, Charachar]
  • A. Shchara
    Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
  • B. Chára
    Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
  • C. Charna
    Charna is a character from Margaret Atwood's novel "Cat's Eye," appearing in the childhood sections as one of Elaine Risley's early friends.
  • D. Polachar
    Polachar is a small coastal settlement on South Uist in Scotland’s Outer Hebrides, known for its rugged shoreline and traditional island character.
  • E. Charalá
    Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Charachar
Triple: [Buddhadeb Dasgupta, notableWork, Charachar]
Generated description
Charachar is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores the lives and struggles of rural bird catchers in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charachar
Target entity description: Charachar is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores the lives and struggles of rural bird catchers in India.
  • A. Shchara
    Shchara is an alternate name for Shkhara, one of the highest and most prominent peaks in the Caucasus Mountains of Georgia.
  • B. Chára
    Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
  • C. Charna
    Charna is a character from Margaret Atwood's novel "Cat's Eye," appearing in the childhood sections as one of Elaine Risley's early friends.
  • D. Polachar
    Polachar is a small coastal settlement on South Uist in Scotland’s Outer Hebrides, known for its rugged shoreline and traditional island character.
  • E. Charalá
    Charalá is a historic colonial town in the Santander Department of Colombia, known for its role in independence-era uprisings and its traditional Andean culture.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83116bf48190894bd5d5465520ef completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02f8596c8190a61b6f1ffd5a609c completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce077f25648190b9a95fb72f5b4f8c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08e192088190ad8170b1bedd568d completed April 2, 2026, 6:12 a.m.
Created at: March 30, 2026, 6:05 p.m.